1,540 Analiza Danych jobs in Kenya

A Business Data Analytics and Research intern plays a crucial role in organizations by leveraging data to drive strategic decision-making, conducting research to identify market trends, and optimizing business operations. Below are key responsibilities and skills typically associated with this role:

Key Responsibilities:

1. Data Collection and Analysis
   :

2. Gather and analyze business, market, and financial data from various sources to provide insights into performance and trends.

3. Use statistical tools to interpret data sets, identifying patterns and trends that inform business decisions.

2.Data Visualization, Reporting and Presentation
:

• Prepare and present detailed reports, dashboards, and visualizations that summarize key data insights and findings.
• Communicate complex data results to non-technical stakeholders in a clear and actionable manner.
• Capacity to develop concept notes and proposals based on market research gaps

3. Market Research
:

• Conduct qualitative and quantitative research to identify new market opportunities, competitor analysis, and customer preferences.
• Evaluate market conditions, industry trends, and competitors' activities to support business growth strategies.
• Prepare presentations based on market research reports

4.Business Performance Monitoring
:

• Monitor key performance indicators (KPIs) to track business progress and identify areas for improvement.
• Recommend improvements based on data insights to optimize processes, reduce costs, and increase profitability.

5.Collaborating with Teams
:

• Work closely with different departments such as marketing, finance, and operations to align data-driven insights with business objectives.
• Provide support for product development, sales strategies, and customer experience initiatives through data analysis.

6.Data Management
:

• Ensure the accuracy, completeness, and security of data.
• Develop and maintain databases, data collection systems, and strategies for efficient data storage and retrieval.

Key Skills:

1.Data Analytics Tools
:

• Proficient in tools like SQL, Excel, Tableau, Power BI, Google Analytics, and other business intelligence platforms.

2.Statistical Analysis
:

• Knowledge of statistical software (e.g., R, SAS, SPSS) and techniques such as regression analysis, hypothesis testing, and predictive modeling.

3.Research and Excellent Writing skills:

• Strong ability to conduct both primary and secondary research, including surveys, interviews, and literature reviews.
• Capacity to develop report and concepts based on market research reports

4.Problem-Solving
:

• Analytical thinking to identify issues, trends, and opportunities through data, and propose actionable solutions.

5.Communication Skills
:

• Excellent written and verbal communication skills to present findings and recommendations clearly to stakeholders.

6.Attention to Detail
:

• High level of precision in handling large data sets and ensuring data accuracy.

7.Project Management
:

• Ability to manage multiple research projects simultaneously, ensuring timely delivery of results.

Education, knowledge and experience:

• A degree in Agricultural Economics or a related field.
• Experience in management and analysis of data.
• Field experience and synthesis of data and lessons for learning
• Knowledge and savvy of data analysis software, especially Stata.
• Very strong analytical skills and applied statistical experience.
• Good scientific wring experience.

Company Description
Infotrak Research and Consulting is a full service research company that was founded in 2004 following the vision of the founder to provide the Pan African Market with suitable information solutions required to sustain the ever-growing economies in the continent.

Headquartered in Nairobi, Kenya, Infotrak also has affiliate offices in Uganda, Tanzania, Nigeria and field contacts in more than 12 other countries in Sub Saharan Africa. The firm attributes its rapid growth to not only innovation, high level of professionalism and dynamism, but also on the excellent caliber of personnel who have been described by many as "Business minds who specialize in research".

Services provided include: Customer & Employee Satisfaction Surveys, Market Segmentation Studies, Brand Health checks, Consumer Usage and attitude studies, advertising awareness/impact surveys, advertising pre-post testing, media surveys, pricing studies, new product research, market feasibilities, formative research, perception surveys, KAP studies etc.

Job Description
We are seeking a highly skilled and detail-oriented Data Analyst with a minimum of five (5) years' experience in data analytics to join our dynamic team. The ideal candidate should have a strong background in statistical analysis, data management, and visualization.

Key Responsibilities:

• Process, clean, and validate large datasets from various sources.
• Prepare survey sampling designs.
• Perform statistical analysis and interpretations to identify trends, patterns, and correlations.
• Develop dashboards, reports, and data visualizations to support business objectives.
• Collaborate with cross-functional teams to understand data needs and provide analytical support.
• Apply advanced analytical techniques to solve complex problems.
• Ensure data integrity, confidentiality, and compliance with relevant policies and regulations.
• Implement process improvements and data-driven strategies to optimize performance.

Qualifications

• Bachelor's degree in Statistics or a related field. Master's degree will be an added advantage.
• Minimum of five (5) years' proven experience in data analytics, statistical modelling, and reporting.
• Proficiency in statistical tools and programming languages (e.g., SPSS, STATA, MS Excel, R, and Python).
• Strong experience with data visualization tools (e.g., Power BI, Tableau).
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong communication and presentation skills.
• Ability to work independently and as part of a team in a fast-paced environment.

Additional Information

This job is full time job and the applicant must be willing to work outside of the country.

If you meet the above requirements, send your CV with a cover letter and testimonials to

the contact address provided.

NB: Ladies are strongly encouraged to apply.

• Collect, process, and analyze diverse sports data sets (performance, physiological, scouting, etc.).
• Develop and implement statistical models and machine learning algorithms for sports analytics.
• Create compelling data visualizations and dashboards to communicate insights effectively.
• Provide data-driven recommendations to coaches, athletes, and management to improve performance and strategy.
• Identify key performance indicators (KPIs) and track progress towards goals.
• Evaluate the effectiveness of training methodologies and game strategies.
• Conduct research on emerging trends and technologies in sports analytics.
• Collaborate with coaches and technical staff to integrate analytics into training and game planning.
• Prepare reports and presentations on analytical findings and recommendations.
• Ensure data integrity, accuracy, and security.
• Stay updated on the latest developments in sports science and analytics.

• Master's degree in Statistics, Data Science, Sports Science, Biomechanics, or a related quantitative field.
• Minimum of 5 years of experience in sports analytics or a closely related field.
• Strong proficiency in statistical analysis and machine learning techniques.
• Experience with data visualization tools (e.g., Tableau, Power BI) and statistical software (e.g., R, Python with libraries like Pandas, Scikit-learn).
• Knowledge of sports performance metrics and relevant data sources.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
• Passion for sports and a good understanding of athletic performance principles.
• Ability to work collaboratively in a team environment and interact effectively with athletes and coaches.
• Experience with video analysis software is a plus.
• Familiarity with SQL and database management.

• Collect, clean, and process large sports-related datasets.
• Develop and apply statistical models to analyze player and team performance.
• Create predictive models for game outcomes, player development, and strategic planning.
• Visualize data and present findings through reports, dashboards, and presentations.
• Collaborate with coaches, athletes, and management to provide data-driven insights.
• Identify trends and patterns in sports data to inform decision-making.
• Stay updated on the latest advancements in sports analytics techniques and technologies.
• Ensure data integrity and accuracy throughout the analysis process.
• Contribute to the development of new analytical tools and methodologies.
• Communicate complex analytical concepts to diverse audiences.

• Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field. A Master's degree is preferred.
• Minimum of 3 years of experience in data analysis, statistical modeling, or a similar role, preferably within the sports industry.
• Proficiency in programming languages such as Python or R.
• Strong knowledge of SQL and database management.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Solid understanding of statistical concepts and machine learning techniques.
• Deep knowledge and passion for one or more sports.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation abilities.
• Ability to work independently and manage projects in a remote environment.

• Collect, clean, and process large datasets related to sports performance, statistics, and fan engagement.
• Develop and implement statistical models and machine learning algorithms to analyze sports data.
• Identify key performance indicators (KPIs) and trends relevant to team performance, player development, and fan experience.
• Create compelling visualizations and dashboards to communicate complex data insights to stakeholders.
• Collaborate with coaching staff to provide data-driven insights for game strategy and player training.
• Assist in scouting and player recruitment by analyzing player data and potential.
• Support marketing and sponsorship teams with fan segmentation and engagement analysis.
• Stay abreast of the latest advancements in sports analytics, data science, and relevant technologies.
• Contribute to the development of data infrastructure and reporting tools.
• Present findings and recommendations clearly and concisely to diverse audiences.

• Develop and implement sophisticated statistical models and machine learning algorithms to analyze sports performance data.
• Collect, clean, and process large datasets from various sources, including performance tracking, video analysis, and biometric sensors.
• Identify key performance indicators (KPIs) and develop dashboards to visualize trends and insights for coaches, athletes, and management.
• Provide objective, data-backed recommendations to improve player development, training regimens, and tactical decision-making.
• Conduct in-depth analysis of opponent strategies and identify competitive advantages.
• Collaborate closely with coaching staff and athletes to understand their needs and deliver tailored analytical support.
• Stay current with the latest trends and technologies in sports analytics and data science.
• Communicate complex analytical findings clearly and concisely to both technical and non-technical stakeholders.
• Mentor and guide junior analysts, fostering a culture of continuous learning and improvement.
• Manage the deployment and maintenance of analytics platforms and tools.
• Ensure data integrity and privacy across all analytical processes.

• Master's degree or PhD in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field.
• At least 5 years of professional experience in sports analytics or a closely related field.
• Proven expertise in statistical modeling, machine learning, and data mining techniques.
• Proficiency in programming languages such as Python or R and associated data science libraries (e.g., Pandas, NumPy, Scikit-learn).
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Deep understanding of various sports and their performance metrics.
• Excellent problem-solving and critical thinking abilities.
• Strong presentation and communication skills, with the ability to translate complex data into understandable insights.
• Demonstrated ability to work independently and collaboratively in a remote setting.
• Experience with SQL and database management.
• Knowledge of sports performance tracking systems is a plus.